Research data are among the fastest growing
openly accessible scientific outputs on the web. Unfortunately, the
discoverability of this data is seriously lacking, leaving up to 85% of
datasets unused.
This is why Open Knowledge Maps has started a
new implementation network (IN) that aims to change this. The main
purpose of the Discovery IN is to provide open interfaces and other
user-facing services for data discovery across disciplines. It brings
together many well-known organisation and projects working on FAIR data
(short for findable, accessible, interoperable and reusable data),
including DataCite, OpenAIRE, EUDAT, OPERAS, CESSDA, BASE, CORE, ZBW,
and Know-Center.
The network is part of the GO FAIR
initiative, a bottom-up international approach for the practical
implementation of infrastructures for FAIR data, such as the EOSC
(European Open Science Cloud).
Source: https://openknowledgemaps.org/news#discovery-in
via https://www.univie.ac.at/voeb/blog/?p=48638
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